AMR Country Hotspots

##  Family: zero_inflated_poisson 
##   Links: mu = log; zi = logit 
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_pcu + ln_livestock_pcu + ln_migrant_pop_perc + ln_tourism_inbound_perc + ln_tourism_outbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_gdp_per_capita + offset(ln_population) 
##          zi ~ ln_pubs_sum_per_capita + ln_gdp_per_capita + ln_population + english_spoken
##    Data: data[[i]] (Number of observations: 198) 
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
##          total post-warmup samples = 120000
## 
## Population-Level Effects: 
##                                     Estimate Est.Error l-95% CI u-95% CI
## Intercept                             -12.79      0.82   -14.42   -11.20
## zi_Intercept                           30.21      5.85    19.41    42.40
## ln_livestock_consumption_kg_per_pcu    -0.30      0.05    -0.40    -0.20
## ln_livestock_pcu                       -0.43      0.03    -0.48    -0.37
## ln_migrant_pop_perc                    -0.03      0.04    -0.11     0.05
## ln_tourism_inbound_perc                 0.15      0.11    -0.14     0.32
## ln_tourism_outbound_perc                0.02      0.15    -0.24     0.38
## ab_export_perc                          2.63      1.14     0.46     5.25
## health_expend_perc                      0.09      0.02     0.06     0.13
## human_consumption_ddd                   0.07      0.01     0.05     0.09
## english_spoken                         -0.09      0.12    -0.35     0.13
## ln_gdp_per_capita                       0.34      0.07     0.22     0.47
## zi_ln_pubs_sum_per_capita              -0.07      0.17    -0.42     0.26
## zi_ln_gdp_per_capita                   -1.29      0.25    -1.81    -0.83
## zi_ln_population                       -1.17      0.20    -1.59    -0.81
## zi_english_spoken                      -1.16      0.60    -2.37    -0.01
##                                     Eff.Sample Rhat
## Intercept                                  172 1.24
## zi_Intercept                             67887 1.00
## ln_livestock_consumption_kg_per_pcu        178 1.23
## ln_livestock_pcu                           110 1.49
## ln_migrant_pop_perc                        113 1.47
## ln_tourism_inbound_perc                     66 3.28
## ln_tourism_outbound_perc                    66 3.25
## ab_export_perc                             105 1.54
## health_expend_perc                          93 1.68
## human_consumption_ddd                      119 1.43
## english_spoken                              93 1.69
## ln_gdp_per_capita                          116 1.44
## zi_ln_pubs_sum_per_capita                88091 1.00
## zi_ln_gdp_per_capita                     73221 1.00
## zi_ln_population                         45629 1.00
## zi_english_spoken                          968 1.04
## 
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample 
## is a crude measure of effective sample size, and Rhat is the potential 
## scale reduction factor on split chains (at convergence, Rhat = 1).

## [1] TRUE